Leandro A. Passos

According to our database, Leandro A. Passos authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2023

FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus.

Gabriel Lino Garcia, Luis C. S. Afonso, Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, João P. Papa

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

A Multi-Class Probabilistic Optimum-Path Forest.

Silas Evandro Nachif Fernandes, Leandro A. Passos, Danilo S. Jodas, Marco Akio, André N. de Souza, João Paulo Papa

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machines for Regression.

M. Lydia, Edwin Prem Kumar Gilbert, Akash Ravichandran, Guilherme Brandão Martins, Leandro A. Passos, João P. Papa

Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks.

Edwin Prem Kumar Gilbert, A. Immanuel Selvakumar, M. Lydia, Baskaran Kaliaperumal, Danilo Samuel Jodas, Leandro A. Passos, João P. Papa

Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

2022

ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization.

Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa

Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

FEMa-FS: Finite Element Machines for Feature Selection.

Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos

Proceedings of the 26th International Conference on Pattern Recognition, 2022

An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks.

Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Leandro A. Passos, João Paulo Papa, Kelton Augusto Pontara da Costa

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

2021

From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks.

Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification.

Daniel F. S. Santos, Rafael Goncalves Pires, Leandro A. Passos, João P. Papa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Deep Regressor Networks for Blind Image Deblurring.

Rafael Goncalves Pires, Daniel F. S. Santos, Leandro A. Passos, João P. Papa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization.

Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo Henrique de Rosa, Leandro A. Passos, João P. Papa

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

Fine-tuning Generative Adversarial Networks using Metaheuristics - A Case Study on Barrett's Esophagus Identification.

Luis Antônio de Souza, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks.

Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa

Proceedings of the Artificial Intelligence and Soft Computing, 2020

Intestinal Parasites Classification Using Deep Belief Networks.

Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa

Proceedings of the Artificial Intelligence and Soft Computing, 2020

O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection.

Leandro A. Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João Paulo Papa

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2018

Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches.

Leandro A. Passos, Douglas Rodrigues, João P. Papa

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest.

Leandro A. Passos, Clayton R. Pereira, Edmar R. S. Rezende, Tiago J. Carvalho, Silke A. T. Weber, Christian Hook, João P. Papa

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

Enhancing Brain Storm Optimization Through Optimum-Path Forest.

Luis Claudio Sugi Afonso, Leandro A. Passos, João Paulo Papa

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

2017

Parkinson's Disease Identification Using Restricted Boltzmann Machines.

Clayton R. Pereira, Leandro A. Passos, Ricardo R. Lopes, Silke A. T. Weber, Christian Hook, João Paulo Papa

Proceedings of the Computer Analysis of Images and Patterns, 2017